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Attention to a point in time causes a suppressive wake for subsequent time points
Department of Electrical Engineering and Computer Science, York University, Toronto, Canada.ORCID iD: 0009-0007-0196-8506
School of Psychological Sciences and Institute of Information Processing and Decision Making, University of Haifa, Haifa, Israel.ORCID iD: 0000-0003-0513-9290
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST). (Computational Brain Science Lab)ORCID iD: 0000-0002-9081-2170
Department of Electrical Engineering and Computer Science, York University, Toronto, Canada.ORCID iD: 0000-0002-8621-9147
2025 (English)Report (Other academic)
Abstract [en]

The Selective Tuning model proposed that attention to a visual stimulus suppresses interfering portions of the processing hierarchy. This has been shown in spatial and featural domains and the proposal extends to the temporal dimension. We investigated whether attending to a point in time leads to processing suppression of nearby time points. We presented a sequence of letters with an embedded target, and observers indicated the target’s orientation. In the neutral condition, the target appeared randomly in one of the frames. In the informative condition, the target appeared in the same frame on most of the trials (‘expected’ trials), and the expected frame varied between blocks (Experiments 1-3) or groups (Experiment 4). On the remaining trials, it appeared before or after the most-probable frame (‘unexpected’ trials). Four different experiments were conducted to adjust the method and in the final one we found higher accuracy in expected trials than in neutral trials, indicating the allocation of temporal attention to the expected frame. When the target appeared after the expected frame, accuracy was lower than in the same neutral condition frame, suggesting an attentional suppressive wake in time (because the effect of attention cannot be observed until after stimulus onset).

Place, publisher, year, edition, pages
Cold Spring Harbor Laboratory , 2025. , p. 36
Keywords [en]
Selective Tuning model, Visual suppression, Temporal attention, Visual perception, Endogenous attention.
National Category
Bioinformatics (Computational Biology)
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-363061DOI: 10.1101/2025.04.28.651029OAI: oai:DiVA.org:kth-363061DiVA, id: diva2:1956119
Note

QC 20250505

Available from: 2025-05-05 Created: 2025-05-05 Last updated: 2025-05-05Bibliographically approved

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Tkacz-Domb, ShiraYeshurun, YaffaLindeberg, TonyTsotsos, John K.
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CiteExportLink to record
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  • apa
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